Smart Homes and Assistive Technologies: Curriculum

Facts about the studies

  • Start: September
  • Costs per semester: € 363.36 tuition fee, € 20.70 ÖH contribution
  • Attendance times during the study program: Monday to Friday during the day
  • Work placement in the 5th semester
  • a Bachelor thesis
  • 180 ECTS credits
  • Possibility for a semester abroad

Courses

Below you find the current courses of the study program.

1. Semester

Name ECTS
SWS
Communication 1 (COMM1)
German / kMod
5.00
-
Competence and Cooperation (KOKO)
German / UE
2.00
1.00

Course description

This course focuses on the students' self-responsible learning processes and imparts appropriate learning strategies as well as techniques and methods of time and self-management. It serves the students as a forum to get to know their group colleagues and prepares them for their own teamwork by applying and reflecting on selected team concepts.

Methodology

Impulse lecture, self-study (short videos, literature, etc.), discussion, work in groups, presentation

Learning outcomes

After passing this course successfully students are able to ...

  • aquire learning content in a variety of ways (repertoire) and prepare it for easy access (e.g. structures, visualizations, etc…), thereby taking into account the functioning of the brain
  • prioritize activities based on various methods (e.g. ABC-analysis, Pomodoro-technique) and plan their timing
  • recognise personal stress triggers and behaviour patterns and develop and describe possibilities for pattern interruptions
  • explain phase models of team development (e.g. Tuckman) and team roles (e.g. Belbin) and derive interventions for their own practice

Course contents

  • Learning, learning models and learning techniques
  • Self- and time management
  • Constructive handling of stress
  • Teamwork: tasks, roles, development

Prerequisites

none

Literature

  • Franken, Swetlana: Verhaltensorientierte Führung – Handeln, Lernen und Diversity in Unternehmen, 3. Aufl. 2010
  • Lehner, Martin: Viel Stoff – schnell gelernt, 2. Aufl. 2018
  • Seiwert, Lothar: Wenn du es eilig hast, gehe langsam: Wenn du es noch eiliger hast, mache einen Umweg, 2018
  • Van Dick, Rolf / West, Michael A.: Teamwork, Teamdiagnose, Team-entwicklung, 2. Aufl. 2013

Assessment methods

  • Exercise, case studies, test, written exam

Anmerkungen

none

Technical English (ENG1)
English / UE
3.00
2.00

Course description

In the Technical English course, students will expand their language toolkit to allow them to effectively record and apply technical vocabulary and terminology in the context of future engineering topics such as automization, digitalization, machines and materials and 3D Printing. Moreover, students will advance their technical verbal and written skills by creating technical object and technical process descriptions specifically for technical professional audiences and engineering purposes.

Methodology

small and medium tasks and activities; open class inputs and discussion; individual task completion settings; peer review and discussion

Learning outcomes

After passing this course successfully students are able to ...

  • record and employ technical vocabulary
  • create and understand technical process instructions
  • identify and produce technical text types according to their intended audience and communication purpose (for example a technical article and a process description)

Course contents

  • Future Trends in Technology (automization, digitalization, machines and materials, 3D printing, AI, and the internet of things.)
  • Visualizing technical descriptions
  • Describing technical visualizations
  • Technical object descriptions
  • Technical process descriptions
  • Technical English talk

Prerequisites

B2 level English

Literature

  • Murphy, R. (2019). English Grammar in Use, 5th Edition. Klett Verlag.
  • Oshima, A., Hogue, A. (2006). Writing Academic English, 4th Edition. Pearson Longman.

Assessment methods

  • 25% Technical Process Description Group Task
  • 25% Technical Process Description Language Task
  • 50% in-class writing (25% writing / 25% applied knowledge)
Digital Systems and Computer Architecture (DSCA)
German / iMod
5.00
-
Digital Systems and Computer Architecture (DSCA)
German / ILV
5.00
3.00

Course description

This module presents the fundamentals of computers and, to their extend, digital systems. Starting with the theoretical foundations of digital circuits, this module swiftly progresses by designing various components of a computer. At the end, a minimalistic, yet fully functional, computer is designed and programmed.

Methodology

Self-study based on videos und literature, regular online Tests, regular exercises and their presentation in class

Learning outcomes

After passing this course successfully students are able to ...

  • specify digital systems
  • use Boolean algebra and binary numbers
  • understand, specify, and optimize combinational as well as sequential logic circuits
  • distinguish between different methods of implementation
  • specify the function and organization of processors, memory, and input/output interfaces
  • understand how software is executed on computers

Course contents

  • Boolean Algebra (How to use a "0" and a"1")
  • Numbersystems and arithmetics on integers (How can a "0" and "1" be used to process data)
  • Combinatory logic (How to build circuits based on"0" and "1")
  • Sequential logic (How to build circuits with memory)
  • Implementation technologies for logic circuits (How can digital circuits be implemented)
  • Function, organisation, and improvements of a computer and its components (How does a computer work)
  • Software execution (How is software executed)

Prerequisites

none

Literature

  • Floyd, T. L. (2014). Digital fundamentals: A systems approach. Pearson Education Limited. [Englisch, international standard literature]
  • Patterson, et. al. (2018). Computer Organization and Design: The Hardware/Software Interface. Elsevier. [Englisch, internationale standard literature]
  • Woitowitz, et. al. (2012). Digitaltechnik. Springer. [Deutsch, free]
  • K. Fricke (2018). Digitaltechnik. Springer. [Deutsch, free]
  • Bindal (2019). Fundamentals of Computer Architecture and Design. Springer. [Englisch, free]
  • Fertig, A. (2018). Rechnerarchitektur Grundlagen. BoD–Books on Demand. [Deutsch]
  • Hellmann, R. (2013). Rechnerarchitektur: einführung in den Aufbau moderner computer. Walter de Gruyter. [Deutsch]

Assessment methods

  • In preparation: pass the online tests for each unit (>50% per test), In preparation: solve the exercises for each unit (in total, >50% of points), In class: present your solution

Anmerkungen

none

Electrical Engineering (ET)
German / iMod
5.00
-
Electrical Engineering (ET)
German / ILV
5.00
3.00

Course description

The participants learn to simulate and calculate dc and ac circuits with resistors, capacitors, inductors and transformers.

Methodology

Integrated course

Learning outcomes

After passing this course successfully students are able to ...

  • calculate and simulate simple resistor networks
  • apply calculation models for AC circuits (e.g. basic RC, RL, RLC circuits) in energy supply problems
  • read and draw schematics
  • characterise and select basic electrical components
  • analyse current consumtion in electrical circuits

Course contents

  • DC voltage, DC current
  • Ohm's law, Kirchhoff's circuit laws
  • DC and AC voltage sources
  • Complex impedance and admittance
  • Transformer
  • Terms of power and electric energy consumption
  • Passive components
  • Bode diagram
  • Noise filter

Prerequisites

none

Literature

  • Beuth, K. / Beuth, O. (2012): Elektrotechnische Grundlagen, Vogel Fachbuch

Assessment methods

  • Course immanent assessment method (exercises, written short tests)

Anmerkungen

none

Electrical Engineering Laboratory (ETLAB)
German / kMod
5.00
-
Installation Engineering/Technologies (INSTA)
German / LAB
3.00
2.00

Course description

Students learn to practically implement electrical installation technology prototypes compliant to safety norms.

Methodology

Laboratory tutorial

Learning outcomes

After passing this course successfully students are able to ...

  • explain fundamental electrical house installations and to practically implement them compliant to safety norms
  • read and interpret installation plans

Course contents

  • House installation technology (series, cross, 3 way, impulse switching)
  • Safety installations (lightning, wire, human, device protection)
  • Norms related to electrical house installations
  • Reading of drawings and plans (EPlan)
  • Installation fundamentals of bus based Systems (KNX)

Prerequisites

none

Literature

  • Elektro-Installationstechnik Hans G Boy and Uwe Dunkhase

Assessment methods

  • practical implementation of electrotechnical laboratory set-ups including preparation of laboratory protocols and proof of functionality

Anmerkungen

none

SPS Programming (SPS)
German / LAB
2.00
1.00

Course description

In this course you will learn the basics of PLC programming. The theory will be put into practice using exercises which can be tested on real hardware.

Methodology

Impulse lecture, self-study, work in groups

Learning outcomes

After passing this course successfully students are able to ...

  • use programmable logic controller (PLC) for control application and automation
  • connect sensors and actuators to the PLC
  • analyze PLC-based control engineering tasks, specify and implement them

Course contents

  • PLC Programming basics
  • Logic gates, flip-flops, time functions
  • Usage of extension modules (IOs)
  • Usage of libraries
  • Graphical user interfaces
  • Sequence controls

Prerequisites

Basics of digital systems

Literature

  • Codesys Manual
  • Berthold Heinrich, Petra Linke, Michael Glöckler: Grundlagen Automatisierung - ISBN 978-3-658- 17581-8
  • Peter F. Orlowski: Praktische Elektronik - ISBN 978- 3-642-39004-3
  • Matthias Seitz: Speicherprogrammierbare Steuerungen - ISBN 3-446-22174-3

Assessment methods

  • Exercise, written exam, project work

Anmerkungen

None

Hardware-related Software Development (HWSE)
German / iMod
5.00
-
Hardware-related Software Development (HWSE)
German / LAB
5.00
3.00

Course description

In this course students learn to program in C and train their skills by solving multiple tasks of different complexity. In addition, students learn how to use respective development tools like compiler, debugger etc.

Methodology

Impulse lectures, Show-Case development of programs, Computer Labs

Learning outcomes

After passing this course successfully students are able to ...

  • Correctly make use of all C language elements to solve real-world problems.
  • Structure programming tasks into smaller problems and describe the latter using custom algorithms.
  • Develop standard I/O programs in C based on the ANSI-C library (typ. complexity 2000 LoC, 2-3 C source files).
  • Compile programs, interpret syntactical and sematical errors, debug programs and fix bugs.
  • Make use of standard development tools (compiler, debugger, etc.).
  • Develop programs using standard algorithms, e.g. using linked lists or trees.

Course contents

  • Variables & Data Types
  • Control Instructions & Operators
  • Bits & Bytes
  • Arrays & Pointers
  • Functions
  • Standard ANSI-C Library
  • Command-line Arguments
  • File I/O
  • Dynamic Memory Management
  • Linked Lists

Prerequisites

standard admission requirements - working with a PC and a standard OS

Literature

  • Robert C. Seacord, "Effective C: An Introduction to Professional C Programming", No Starch Press, 2020, ISBN: 1718501048
  • Helmut O.B. Schellong, "Moderne C-Programmierung", Springer Verlag, 2014, ISBN: 1439-5428
  • R. Klima, S. Selberherr, "Programmieren in C", Springer Verlag, 2010, ISBN: 978-3-7091-0392-0

Assessment methods

  • Written assement, programming assessment, assessment of individual programming task submissions

Anmerkungen

none

Mathematics for Engineering Science 1 (MAES1)
German / iMod
5.00
-
Mathematics for Engineering Science 1 (MAES1)
German / ILV
5.00
3.00

Course description

The course „Mathematik für Computer Science 1“ is supposed to convey mathematical skills and a structured mode of thought. The methods acquired by the students, based on a sustainable foundation, enable them to solve up-to-date technical and engeneering problems in an efficient and comprehensible way and to analyze established solutions. After an introductory part the emphasis lies on linear algebra.

Methodology

Both face-to-face learning (lecturing, practical exercises) and self-study (preparation and post-processing) are integrated.

Learning outcomes

After passing this course successfully students are able to ...

  • to properly formulate mathematical statements using propositional logic and set theory, and to represent numbers in various numeral systems
  • to analyze basic properties of functions in one variable, and to interpret these in the appropriate subject context
  • to apply operations and changes of representation with complex numbers, to interpret them geometrically in the complex plane, and to describe harmonic oscillations in terms of complex numbers
  • to solve basic problems in general vector spaces and simple geometric problems in two and three dimensional euclidean space
  • to perform elementary matrix operations, and to compute determinants and inverse matrices
  • to solve systems of linear equations using Gauß‘ algorithm
  • to perform geometric operations in terms of linear mappings
  • to compute scalar products, orthogonal projections and orthogonal transformations, and to interprete them geometrically
  • to compute eigenvalues, eigenvectors and eigenspaces

Course contents

  • Logic and sets
  • Number sets and numeral systems
  • Functions
  • Complex numbers
  • Vector spaces
  • Matrices and linear operators
  • Systems of linear equations
  • Systems of linear equations
  • eigenvalues and eigenvectors

Prerequisites

none

Literature

  • Tilo Arens, Frank Hettlich, Christian Karpfinger, Ulrich Kockelkorn, Klaus Lichtenegger und Hellmuth Stachel: Mathematik. Springer Spektrum (aktuell: 4. Auflage 2018)

Assessment methods

  • The basis for the assessment are 10 (online) quizzes, two units of practical exercises and two written tests. The qualitative criteria for practical exercises and tests are an appropriate understanding of the contents and the necessary mathematical skills.

2. Semester

Name ECTS
SWS
Communication 2 (COMM2)
German / kMod
5.00
-
Business English (ENG2)
English / UE
3.00
2.00

Course description

In this Business English course, students will learn how to write clear, compelling, professional text, as well as, expanding their language toolkit to enable them to record and apply business vocabulary and terminology in the context of future trends in Business and Engineering. These trends would include, amongst others, diversity and inclusion, the globalization of the economy and, also, the internationalization of finance. Moreover, students will advance their verbal and written English language skills by applying critical thinking tools in the creation of impact analyses specifically for technical business audiences of the global community.

Methodology

small and medium tasks and activities; open class inputs and discussion; individual task completion settings; peer review and discussion

Learning outcomes

After passing this course successfully students are able to ...

  • record and employ vocabulary for business in technology
  • create a business technology impact analysis
  • articulate both orally and in written form the different ways in which technology impacts business
  • use specific vocabulary and terminology in, for example, leading a meeting

Course contents

  • Business in Technology (for example finance and investment, the global economy, digital marketing and sales, international teams, and diversity and inclusion)
  • Impact Analyses for Business and Technology
  • Business English Talk

Prerequisites

B2 level English

Literature

  • Murphy, R. (2019). English Grammar in Use, 5th Edition. Klett Verlag.

Assessment methods

  • 30% Business Impact Analysis Group Task
  • 30% Business Impact Analysis Language Task
  • 40% in-class writing
Creativity and Complexity (KREKO)
German / UE
2.00
1.00

Course description

This course introduces the process of finding ideas by testing various creativity techniques, whereby the students also act as moderators using appropriate moderation techniques. As part of the course, students deal with the phenomenon of "complexity", develop a systemic attitude and train the explanation of complex issues, especially for people without major technical expertise.

Methodology

Impulse lecture, self-study (short videos, literature, etc.), discussion, work in groups, presentation

Learning outcomes

After passing this course successfully students are able to ...

  • moderate a map query followed by clustering and multi-point querying
  • Implement case-oriented approaches to the generation of ideas (e. g. lateral thinking, critical thinking) as well as selected creativity techniques (e. g. stimulus word analysis, morphological box) to be explained and applied)
  • adopt a systemic mindset and explain and apply tools for dealing with complexity (cf. B. Effectiveness structures, paper computers
  • explain complex technical issues in a target group-specific manner (also for non-technicians)

Course contents

  • Moderation of groups
  • Brainstorming and creativity
  • Networked thinking, dealing with complexity
  • Explain complex issues

Prerequisites

none

Literature

  • Dörner, Dietrich: Die Logik des Misslingens: Strategisches Denken in komplexen Situationen, 14. Aufl. 2003
  • Lehner, Martin: Erklären und Verstehen: 2018 (e-Book)
  • Rustler, Florian: Denkwerkzeuge der Kreativität und Innovation – Das kleine Handbuch der Innovationsmethoden, 9. Aufl. 2019
  • Schilling, Gert: Moderation von Gruppen, 2005
  • Vester, Frederic: Die Kunst vernetzt zu denken, 2002

Assessment methods

  • Exercise, case studies, test

Anmerkungen

none

Communication Networks (CN)
German / iMod
5.00
-
Communication Networks (CN)
German / ILV
5.00
3.00

Course description

This course teaches the technical basics of communication and computer networks. The course covers tasks that occur in the job description of a junior network administrator.

Methodology

Lecture, self-study, discussion

Learning outcomes

After passing this course successfully students are able to ...

  • explain the basic characteristics, hardware and software, of communication networks
  • analyze the OSI Layer Model and the TCP Layer Model and name important protocols, including advantages and disadvantages
  • use and explain ICMP applications
  • perform the calculation to divide a network into several smaller subnets (network address, broadcast address, host addresses)
  • configure simple networks using GNS3 (router)

Course contents

  • Elements of technical communication networks
  • Components and devices
  • Classification of communication networks
  • Network topologies
  • Definition and examples of Internet Protocol services
  • TCP/IP and OSI reference models
  • Network media and their physical effects
  • Ethernet and IEEE 802.3 Frames
  • LAN, LAN Standards
  • IPv4, CIDR, VLSM, IPv6
  • Internet Protocol, ARP, ICMP,DHCP,DNS
  • Datagram Formats
  • Forwarding and Routing
  • UDP and TCP

Prerequisites

none

Literature

  • C. Kozierok. (2004): TCP/IP Guide, No Starch Press
  • Andrew S. Tanenbaum / Hübner, C. (2012), Computer Networks: Pearson Studium; Edition: 5th, updated edition

Assessment methods

  • Exercise, written exam, assignment

Anmerkungen

none

Electronics (EL)
German / iMod
5.00
-
Electronics (EL)
German / ILV
5.00
3.00

Course description

The basics of electronic components such as transistors and operational amplifiers, the design and simulation of electronic circuits and filters and selected topics such as switching converters, optoelectronics and analog-to-digital converters are taught.

Methodology

Integrated course

Learning outcomes

After passing this course successfully students are able to ...

  • charcterise and select basic electronic components
  • design and simulate electronic circuits for signal processing
  • analyse currents, voltages and signal curves in electronic circuits

Course contents

  • Discrete semiconductors
  • Transistor circuits
  • Operational amplifier circuits (amplifiers, trigger circuits)
  • Passive and active filters, Bode diagram
  • Switching converter
  • Optoelectronics
  • ADC and DAC

Prerequisites

electrical engineering

Literature

  • Beuth, K. / Beuth, O. (2003): Elementare Elektronik, Vogel Fachbuch
  • Tietze, U. / Schenk, C. / Gamm, E. (2010): Halbleiter-Schaltungstechnik, Springer

Assessment methods

  • Course immanent assessment method (exercises, written short tests)

Anmerkungen

none

Fundamentals of Assistive Technologies (FAT)
German / kMod
5.00
-
Electronics Laboratory (ELAB)
German / LAB
2.00
1.00

Course description

The operation and application of basic devices of an electronics laboratory such as power supply unit, multimeter, function generator and oscilloscope as well as the structure and function control of circuits with transistors and operational amplifiers are taught.

Methodology

Laboratory tutorial

Learning outcomes

After passing this course successfully students are able to ...

  • Carry out and document elementary electronic measurement tasks (e.g. current measurement)
  • Identify measurement accuracy and errors
  • Apply the safety regulations of measurement technology
  • To operate measuring devices (e.g. oscilloscope, function generator) and to use them correctly

Course contents

  • Measurement of current and voltage
  • Measurements on voltage sources
  • Measurement of alternating quantities
  • Signal processing (amplification, filtering)
  • Measurements on the mains supply

Prerequisites

electrical engineering

Literature

  • Parthier, R. (2014): Messtechnik: Grundlagen und Anwendungen der elektrischen Messtechnik, Springer Vieweg
  • Kiencke, U. / Eger, R. (2008): Messtechnik, Springer

Assessment methods

  • Build up of electronic circuits including the documentation in laboratory protocols and functional verfication

Anmerkungen

none

Fundamentals of Assistive Technologies (FAT)
English / ILV
3.00
2.00
Mathematics for Engineering Science 2 (MAES2)
German / iMod
5.00
-
Mathematics for Engineering Science 2 (MAES2)
German / ILV
5.00
3.00

Course description

The course „Mathematik für Engineering Science 2“ is supposed to convey mathematical skills and a structured mode of thoughtthe emphasis lies on calculus.

Methodology

Both face-to-face learning (lecturing, practical exercises) and self-study (preparation and post-processing) are integrated.

Learning outcomes

After passing this course successfully students are able to ...

  • to examine sequences and series with respect to convergence
  • to compute limits and the asymptotic behavious of functions
  • to explain the definition of the derivative of a function and to interpret the derivative geometrically
  • to apply the rules of differentiation to an appropriate extent
  • to analyze functions by means of differential calculus (e.g. with respect to extrema and curvature behaviour) and to approximate functions locally in terms of Taylor polynomials
  • to compute definite, indefinite and improper integrals
  • to interpret definite integrals as areas or accordingly in the relevant context
  • to classify ordinary differential equations
  • to solve basic ordinary differential equations by standard methods and to interpret them in the appropriate subject context

Course contents

  • sequences and series
  • differential calculus
  • integral calculus
  • ordinary differential equations

Prerequisites

Mathematics for Engineering Science 1

Literature

  • Tilo Arens, Frank Hettlich, Christian Karpfinger, Ulrich Kockelkorn, Klaus Lichtenegger und Hellmuth Stachel: Mathematik. Springer Spektrum (aktuell: 4. Auflage 2018).

Assessment methods

  • The basis for the assessment are 10 (online) quizzes, two units of practical exercises and two written tests. The qualitative criteria for practical exercises and tests are an appropriate understanding of the contents and the necessary mathematical skills.

Anmerkungen

none

Microcontroller Technology (MC)
English / iMod
5.00
-
Microcontroller Technology (MC)
English / LAB
5.00
3.00

3. Semester

Name ECTS
SWS
Assistive Technologies (AT)
German / kMod
5.00
-
Assistive Technologies Platforms (ATP)
German / ILV
3.00
2.00

Course description

This module introduces hardware and software technologies used for the specification and engineering of Assistive Technology solutions.

Learning outcomes

After passing this course successfully students are able to ...

  • analyse, evaluate and design Assistive Technology (AT) solutions
  • select suitable hardware (sensors, actuators, processors) and software components to build an Assistive Technology

Course contents

  • Major technologies used in Assistive Technology systems
  • Assistive technology platforms and software frameworks (tablets, smartphones and “wearable” technologies)
  • Software libraries speech syntheses, speech recognition and computer vision
  • The AsTeRICS framework - a rapid prototyping platform for creating Assistive Technology: Java/OSGi architecture, plugins
  • Java programming for AsTeRICS: Develop plugins to integrate new hardware or software components and create Assistive Technologies based on that
Rapid Prototyping (RP)
German / ILV
2.00
1.00

Course description

This module introduces the upcoming technology of rapid prototyping. Particular attention is paid to DIY/Low-Cost products, which might be used for custom-built devices and/or prototypes. In this module the workflow of the free software FreeCAD is introduced, as well as the usage of this software together with slicer programs for 3D printers.

Learning outcomes

After passing this course successfully students are able to ...

  • designate the essential steps to design a new Smart Home and Assistive Technology
  • utilize state-of-the-art tools for PCB design, 3D printing, laser cutting and housing design to develop a prototype

Course contents

  • PCB design
  • Housing design
  • 3D printing
  • Laser cutting
Assistive Technologies Laboratory (ATLAB)
German / iMod
5.00
-
Assistive Technologies Laboratory (ATLAB)
German / LAB
5.00
3.00

Course description

In this course, different tasks within the topic of assistive technologies are handled, including different sensors/actuators and the integration within an existing AT-framework

Learning outcomes

After passing this course successfully students are able to ...

  • Develop and test new AT solutions, based on electronic components
  • Use and extend middleware frameworks for AT solutions
  • Use and combine different algorithms utilized for image-, signal- and speech-processing

Course contents

  • Microcontroller platforms, (bioelectric) sensors and actuators in application-oriented scenarios
  • Firmware development and different bus/interface standards
  • Data transmission and transmission protocols for embedded systems and host computers
  • Design and implementation of specific electro-mechanical solutions in the context of AT and the integration into existing AT-middleware frameworks.
Control and Feedback Control Systems (SRT)
German / kMod
5.00
-
Control and Feedback Control Systems (SRT)
German / ILV
3.00
2.00

Course description

The course covers specific aspects of control and feedback control systems. The focus is on the application domain smart homes.

Learning outcomes

After passing this course successfully students are able to ...

  • identify control components
  • describe, simulate and analyze control processes
  • plan and simulate basic feedback control systems
  • apply control systems in selected examples

Course contents

  • fundamentals of control engineering
  • control engineering applications: building automation
  • fundamentals of feedback control systems
  • mathematical description of closed loop systems
  • analysis of control processes in Matlab
  • control unit design
  • stability criterion
Control and Feedback Control Systems Laboratory (SRTLAB)
German / LAB
2.00
1.00

Course description

The course covers practical aspects of control and feedback control systems. The focus is on the application domain smart homes.

Learning outcomes

After passing this course successfully students are able to ...

  • identify control components
  • describe, simulate and analyze control processes
  • plan and simulate basic feedback control systems
  • apply control systems in selected examples

Course contents

  • control engineering applications: building automation
  • practical applications of feedback control systems
  • measurement and simulation of closed loop systems
  • analysis of control processes in Matlab / Simulink
Fundamentals of Physics (PHYS)
German / kMod
5.00
-
Fundamentals of Physics for Engineering Sciences (PHY1)
German / ILV
3.00
2.00

Course description

The course „ Grundlagen der Physik für Ingenieurswissenschaften“ is supposed to convey scientific skills an knowledge in the context of physics. The students will be able to connect the presented knowledge to establish a scientific model of the world and take the presented models as a theoretical basis for more specific lectures in the engineering context. The topics mechanics, thermodynamics, optics and electrodynamics are covered. The lecture also focuses on statistical methods of experimental physics. Via these topics the students learn scientific modelling and quantitative estimation and interpretation of model-relevant physical quantities and gain a basic understanding of the scientific process. Through the exercises the students will be able to learn to independently solve engineering via mathematical calculations.

Methodology

Both face-to-face learning (lecturing, practical exercises) and self-study (preparation and post-processing) are integrated.

Learning outcomes

After passing this course successfully students are able to ...

  • Explain and interpret the connection between scientific theory, experiments and engineering applications.
  • Independently execute quantitative calculations based on scientific models to solve engineering problems.
  • Estimate measurement errors based on measurement results.
  • To give theoretical explanations to basic topics related to physics.
  • Independently read and understand scientific texts.
  • Give exact formulations of scientific problems and differentiate between colloquial and scientific definitions of different terms.
  • To grasp the importance of physical processes (related to the topics mechanics, acoustic, thermodynamics, electromagnetism and optics) as foundation for calculations in technical context

Course contents

  • Physical Quantities & Entities
  • Uncertainty analysis
  • Mechanics
  • Oscillation
  • Electrodynamics
  • Optics
  • Thermodynamics

Prerequisites

none

Literature

  • Douglas C. Giancoli: Physik. Pearson

Assessment methods

  • The basis for the assessment are 9 (online) quizzes, 8 exercises and one written test. The qualitative criteria for practical exercises and tests are an appropriate understanding of the contents and the necessary mathematical skills.
Physics Laboratory (PHYLB)
German / LAB
2.00
1.00

Course description

The course „ Grundlagenlabor Physik“ is supposed to convey scientific skills and knowledge in the context of physics. By conducting experiments concerning the topics mechanics, thermodynamics, optics and electrodynamics, students gain important experience in experimental work as well as statistical data evaluation and practical lab skills. This knowledge is of high importance in the engineering context since dealing with and evaluating measurement results is a basis of engineering work, e.g. sensor technology, metrology or embedded systems. The authorship of lab protocols and measurement sheets allows students to gain important experience in scientific-technical documentation of scientific work.

Methodology

Both face-to-face learning (practical exercises) and self-study (theoretical preparation for the experiments and authorship of lab protocols) are integrated.

Learning outcomes

After passing this course successfully students are able to ...

  • Independently plan and conduct physical experiments.
  • Write technical documentation according to scientific standards
  • Use their knowledge about basic physical processes (mechanics, thermodynamics, electromagnetism and optics) in practical applications like the conduction of scientific experiments.
  • Write and analyse scientific texts using their knowledge of basic rules for scientific work and to differentiate between scientific conduct and unscientific conduct.
  • Interpret measurement results based on physical theories.
  • Evaluate and process experimental data using methods of uncertainty analysis.
  • Grasp the concept of linear regression and apply it to actual measurement data.

Course contents

  • Pendulum & Statistics
  • Energy, calorimetry, Basic applications of thermodynamics
  • Measurement of electromagnetic quantities
  • Statistical data evaluation an processing

Prerequisites

Necassary prerequisites like the code of conduct in a lab theoretical knowledge about the experiments are conveyed via self-study. Other than that, no prerequisites exist.

Literature

  • Instructions for experiment
  • Factsheets
  • Erdmann, et.al. „Statistische Methoden in der Experimentalphysik“, Pearson
  • Douglas C. Giancoli: Physik. Pearson

Assessment methods

  • The basis for the assessment are per practical exercise: 1 online test, 1 short test before the execution of the lab exercise and 1 documentation file per experiment (lab protocol / measurement sheet). The qualitative criteria for practical exercises and tests are an appropriate understanding of the contents and the necessary mathematical skills. The documentation files are graded based on completeness and correctness.
Object-oriented Programming and Modeling (OOPM)
German / iMod
5.00
-
Object-oriented Programming and Modeling (OOPM)
German / LAB
5.00
3.00
Research and Communication Skills (COMM3)
German / kMod
5.00
-
Communication and Culture (KOKU)
German / UE
2.00
1.00

Course description

The course introduces the basics of communication and conversation and conveys possibilities of appropriate behavior in different professional communication situations (e.g. conflicts). As part of the course, the students deal with the phenomenon of "culture" and develop action strategies for intercultural contexts.

Learning outcomes

After passing this course successfully students are able to ...

  • analyze communication behavior using relevant models (e.g. Schulz v. Thun, transaction analysis) and develop your own strategies for behavior that encourages conversation (e.g. rapport
  • explain the different stages of a conflict (e.g. according tot he Glasl escalations model) on a case-by-case basis and develop appropriate options for action in conflict situations.
  • explain levels of culture (e.g. behavior, beliefs) using concrete examples
  • develop situationally appropriate options for action (intercultural competence) for dealing with cultural differences

Course contents

  • Communication and conversation skills
  • Conflict management
  • Cultural theory
  • Interculturality
Scientific Writing (WIA)
German / ILV
3.00
2.00

Course description

The course prepares students for the writing of scientific papers, especially the Bachelor thesis.

Learning outcomes

After passing this course successfully students are able to ...

  • to explain different types of scientific texts.
  • to explain the standards that characterize scientific work.
  • to outline topics and formulate research questions.
  • to select and apply working methods for the chosen questions.
  • to structure a scientific work in a formally correct way.
  • to write a proposal (exposé, disposition) for a seminar paper or bachelor thesis.
  • to conduct (literature) research, to evaluate sources and to cite them according to scientific standards.
  • to explain and implement formal and linguistic requirements of a scientific text.
  • to understand presentations of basic descriptive statistics and to select and apply meaningful methods to one's own questions.

Course contents

  • Scientific criteria
  • Methods and theories regarding knowledge acquisition
  • Types of scientific texts as well as variations in structure and composition
  • Guidelines to ensure good scientific practice
  • Searching for and narrowing down topics
  • Formulation and operationalization of research questions
  • Strategies of source assembly
  • Documentation of sources
  • Proposal (Exposé, Disposition)
  • Scientific writing style and basic argumentation
  • Formal design of scientific work
  • Methods, fields of application and interpretation of descriptive statistical procedures.

Prerequisites

none

Literature

  • Skern"Writing Scientific English. A Workbook" 2011, FacultaswuvUTB.; Theuerkauf, J. (2012). Schreiben im Ingenieurstudium. UTB GmbH.
  • Leedy, Ormrod “Practical Research. Planning and Design”2015, Pearson.; Neuman “Understanding Research”, 2014, Pearson

Assessment methods

  • The basis for the assessment is a test.

4. Semester

Name ECTS
SWS
Business Administration (BWL)
German / kMod
5.00
-
Accounting (RW)
German / ILV
2.00
1.00

Course description

In this sub-module, students acquire basic knowledge in the areas of external and internal accounting.

Methodology

Flipped Classroom

Learning outcomes

After passing this course successfully students are able to ...

  • to describe the system of double-entry accounting,
  • book simple business transactions,
  • prepare annual financial statements,
  • analyse annual financial statements on the basis of key figures,
  • explain the system of corporate taxation,
  • explain the elements and tasks of cost accounting,
  • list the system components of cost accounting,
  • determine the manufacturing costs of products and draw up an optimal production and sales programme.

Course contents

  • Accounting
  • Bookkeeping
  • Balance sheet analysis
  • Value added tax
  • Taxation of profits
  • Cost accounting

Prerequisites

none

Literature

  • Wala, Baumüller, Krimmel: Accounting, balance sheet and taxes, Facultas
  • Wala: Compact cost accounting, Amazon
  • Wala, Siller: Exam training cost accounting, bookboon
  • Wala, Felleitner: Written training in accounting & finance, Bookboon

Assessment methods

  • Interim tests: 10 points
  • Final exam: 90 points

Anmerkungen

Details see Moodle course

General Management (UF)
German / ILV
3.00
2.00

Course description

In this sub-module students acquire basic knowledge in the fields of normative, strategic and operational management.

Methodology

Flipped Classroom

Learning outcomes

After passing this course successfully students are able to ...

  • distinguish between different types of corporate goals,
  • distinguish between strategic and operational management,
  • explain tasks and instruments of controlling,
  • describe the advantages and disadvantages of a strong corporate culture,
  • develop strategies for a company from the analysis of strengths, weaknesses, opportunities and threats,
  • analyse the advantages and disadvantages of different forms of organizational structure,
  • optimize business processes,
  • distinguish between intrinsic and extrinsic motivation,
  • distinguish between different leadership theories,
  • explain the tasks and instruments of human resources management.

Course contents

  • Management
  • Company goals
  • Corporate Culture
  • Strategic management
  • Organization
  • Change Management
  • Motivation and Leadership
  • Personnel Management
  • Controlling

Prerequisites

none

Literature

  • Wala, Grobelschegg: Kernelemente der Unternehmensführung, Linde

Assessment methods

  • Interim tests: 10 points
  • Final exam: 90 points

Anmerkungen

Details see Moodle course

Sensor Technology and Processing of Biosignals (BIO)
German / iMod
5.00
-
Sensor Technology and Processing of Biosignals (BIO)
German / ILV
5.00
3.00

Course description

The lecture covers the domain of biosignal acquisition and analysis. Course topics are physiologic basics and the origin of biosignals, sensors and amplifier circuits, and the relevant basics for signal processing in the context of biosignals. Beside the theoretical background the lecture includes practical exercises and programming tasks.

Learning outcomes

After passing this course successfully students are able to ...

  • describe the origin of biosignals and describe physiological relationships
  • acquire biosignals with a biosignal amplifier (e.g. ECG mmplifier)
  • utilize integrated semiconductor sensors
  • implement a safe coupling between humans and sensor electronics
  • analyse biosignals in time and frequency domain
  • explain selected basic approaches of digital signal processing (e.g. signal filtering, feature extraction)
  • visualize biosignals for specific applications
  • utilize pattern recognition methods for EEG signal classification
  • explain system integration based on relevant standards (e.g. ISO/IEEE 11073)

Course contents

  • Origin of biosignals
  • Physiological basics
  • Design of electronic amplifiers for biosignals
  • Semiconductor sensors for biosignal acquisition
  • Electrical safety of medical devices
  • Signals in time and frequency domain
  • Frequency filters
  • Visualisation of biosignals
  • Methods for feature extraction
  • Methods for pattern recognition
  • System integration (ELGA, Continua, HL7, ISO/IEEE 11073)
Smart Homes (SH)
German / kMod
5.00
-
Automation Networks (AN)
English / ILV
3.00
2.00

Course description

This module gives an introduction to the basics of building automation and smart homes.

Learning outcomes

After passing this course successfully students are able to ...

  • explain the basic characteristics of open building automation (e.g. KNX) networks
  • define the requirements of wired and wireless automation networks
  • analyze the application areas of open building automation systems and identify their benefits and disadvantages

Course contents

  • Requirements, challenges and benefits of wired and wireless automation networks
  • History, protocol stack, media, interoperability, devices and configuration of wired bussystems (e.g. BACnet, KNX, LonWorks)
  • Wireless communication in Smart Homes
  • History, protocol stack, media, interoperability, devices and configuration of wireless bussystems (e.g. Bluetooth, RFID, Z-Wave, EnOcean, KNXRF, ZigBee)
  • Trade and system spanned integration
Building Systems Engineering (GST)
German / ILV
2.00
1.00

Course description

This course teaches the students basic principles of building technology. Here, the mode of operation and the operating behavior of these systems are discussed in particular.

Learning outcomes

After passing this course successfully students are able to ...

  • name and explain domains of building system technology (e.g. HVAC - heating, ventilation and air conditioning) and explain the basic sensors and actuators
  • to analyze and evaluate the mode of operation and the operational behavior of building services systems

Course contents

  • Building technology, especially HVAC (heating, ventilation, air conditioning and sanitary)
  • Building automation
  • Increased energy efficiency through building automation
Smart Homes Laboratory (SHL)
German / iMod
5.00
-
Smart Homes Laboratory (SHL)
German / LAB
5.00
3.00

Course description

In this module different exercises in the smart home domain are practically implemented using common software tools.

Learning outcomes

After passing this course successfully students are able to ...

  • implement a wireless extension to an existing smart home installation
  • develop a software application for control of a smart home based on an existing middleware
  • plan a basic smart home installation based on an open, wired automation network

Course contents

  • common smart home software tools (e.g. ETS, VTS, Voyager)
  • Configuration, parametrization and commisioning of wireless and wired smart homes (e.g. KNX training kits, KNX RF, EnOcean hardware)
  • common middleware for application development (e.g. Calimero, eibd, Priscilla)
  • Vizualisations of Smart Homes
Web Technologies (WEB)
German / iMod
5.00
-
Web Technologies (WEB)
German / ILV
5.00
3.00

Course description

This course covers basic methods for developing (mobile) accessible web front ends. This includes the development of front ends with base technologies like HTML5 and CSS3 as well as frameworks (e.g. Bootstrap). Furthermore, JavaScript/AJAX and JS-libraries (e.g. jQuery) are taught. As interface technologies RESTful Web Services are used in combination with the data exchange format JSON. Furthermore, the basics of web accessibility are worked out and put into practice. The course is accompanied by the implementation of a continuous project in order to demonstrate the interlocking of all taught technologies.

Learning outcomes

After passing this course successfully students are able to ...

  • design and implement static web surfaces based on standardized technologies (HTML, CSS)
  • implement websites using CSS and clearly separate layout, structure and content
  • integrate parts of other developers and add CSS Frameworks like Bootstrap to own web projects
  • test accessibility of web front ends.
  • design and implement accessible web front ends.
  • develop dynamic web front ends based on JavaScript.
  • manipulate the DOM structure with jQuery.
  • make asynchronous calls to a backend app via Ajax.
  • know and use the characteristics and functionality of the HTTP protocol.
  • handling JSON data.
  • consume RESTful Web Services.
  • easily acquire additional knowledge in the field of web front end development if necessary
  • name technologies used for web front end development and apply them correctly..

Course contents

  • Fundamentals of (mobile) accessible web front end development
  • HTML5 for describing websites
  • CSS3 for layouting and graphical design
  • Bootstrap as front end framework
  • JavaScript/jQuery/AJAX for the development of dynamic web front ends
  • Basics of HTTP
  • RESTful web services
  • JSON as data format
  • Web accessibility (WCAG)
Working with and for patients 1 (AMP1)
German / kMod
5.00
-
Ethics (ETHIK)
German / UE
2.00
1.00
Working with and for patients 1 (AMP1)
German / UE
3.00
2.00

5. Semester

Name ECTS
SWS
Distributed Electrical Systems (VESYS)
German / iMod
5.00
-
Distributed Systems (VS)
German / ILV
5.00
3.00

Course description

This module conveys basic knowledge of distributed systems focusing on TCP/IP, fault tolerance, and Java.

Learning outcomes

After passing this course successfully students are able to ...

  • draft a software architecture for an according software project of the IT systems domain
  • utilize state-of-the-art middleware technologies (e.g. Java Enterprise, Web Services, Group Communication) to implement various software designs
  • decompose sophisticated requirements into subtasks, in order to implement the requirements within a team
  • integrate company use-cases based on state-of-the-art integration technologies (e.g. Web Services)

Course contents

  • Software-Architectures: Overview of existing and upcoming concepts (object-oriented event-based, component-oriented, SOA, …)
  • Java Enterprise: Architecture, Overview of persistence concepts, fundamentals of JPA
  • XML and Web Services: Fundamentals of XML and further Web Service Technologies (WSDL, SOAP, …)
  • .NET: WCF as an alternative to Web Service Implementations, Interoperability- and Integration aspects, concept vs. technology
  • Message-oriented middleware: Message routing and transformation
  • Architecture for scalable and fault-tolerant applications
  • Component-based software engineering: standards, life-cycle, COTS, processes and management
  • Distributed transactions: concurrency control, locking, recovery, 2PC, loosely coupled transactions
  • Project Assignment
Elective Modules (VERT)
German / kMod
10.00
-
Elective Module: Smart Homes and Assistive Technologies (VSMAT)
German / kMod
10.00
-
Projekt Project: Smart Homes and Assistive Technologies (PRSM)
German / PRJ
5.00
3.00
Selected Topics of Smart Homes and Assistive Technologies (SMAT)
German / ILV
5.00
3.00
IT Security (ITSEC)
English / kMod
5.00
-
IT Security Basics (ITSEC)
English / ILV
3.00
2.00

Course description

The course offers an overview of the fundamentals of IT security and deals with cryptographic methods, authenticity, key management, access control and secure communication.

Learning outcomes

After passing this course successfully students are able to ...

  • to name the protection goals of IT security and to show threats as well as methods to guarantee the goals
  • know cryptographic methods and can name their respective strengths and weaknesses and thus possible application scenarios
  • Encrypt and sign emails and any documents
  • List methods for access control and monitoring at network, system and application levels and explain their function and application scenarios
  • Can explain basic technologies for secure communication
  • Explain basic procedures for evaluating the importance of systems or for risk analysis

Course contents

  • Basics of Information Security
  • Threat to IT security and sources of danger (internal and external threats)
  • Basics of cryptography
  • HMAC
  • Public key infrastructures (PKI)
  • Signatures
  • Certificates
  • access control
  • Identification/Authentication/Authorization
  • Password security/entropy
  • DMZ, Firewall & IDS/IPS
  • IPSec
  • Transport Layer Security
  • Secure communication mechanisms
Software Security (SWSEC)
English / ILV
2.00
1.00

Course description

Introduction to the basic aspects of IT security with special focus on network security

Learning outcomes

After passing this course successfully students are able to ...

  • Implement protection goals for wireless and wired networks
  • create concepts for the protection of sensitive information in applications
  • To establish Identity & Access Management in web applications the more the security standard is increased (system hardening).
  • to transfer security topics from the web environment to requirements from the cloud
  • Administrate security systems
  • to assess IT security of systems
  • Ensure confidentiality and integrity of data in transfer

Course contents

  • Cryptographic methods and their practical application
  • Protection of wired and wireless networks
  • Transport layer security and virtual private networks
  • Protection of mobile devices
  • Web Application Security
  • Identity & Access Management
  • Data protection and data security on the web
  • Management of security systems
  • Hardening of systems
  • Cloud Security
Management and Law (MANRE)
German / kMod
5.00
-
Business Law (RECHT)
German / ILV
3.00
2.00

Course description

This course offers an introduction to Austrian business law with a focus on private law

Methodology

Lecture, self-study, discussion, exercises, case studies, inverted classroom

Learning outcomes

After passing this course successfully students are able to ...

  • describe the structure of the legal system and the relationship between european law and national legislation
  • explain the most important private law framework conditions in business life (e.g. legal subjectivity, contract law, representation, default, damages, etc.) and to be able to estimate their influence on business decisions
  • take into account the special characteristics of B2B business transactions (e.g. obligation to notify defects, etc.) as well as those of B2C business transactions (e.g. consumer protection law, etc.);
  • find legal sources (e.g. court rulings) using databases like the Legal Information System of the Federal Government and to research further relevant literature
  • deal with a legal text and to interpret it on the basis of the canon of interpretation of legal methodology
  • meet the requirements of trade law necessary for a specific business activity
  • conclude contracts
  • assess simple legal issues and to decide whether professional support - such as the involvement of a lawyer or notary – is necessary
  • weigh up the advantages and disadvantages of different legal forms in the course of establishing a company

Course contents

  • Legal system
  • European fundamental freedoms
  • Trade Law
  • Legal forms
  • Company register
  • Law of Contracts
  • Consumer protection law
  • Disruptions in performance (default, warranty)
  • Tort Law

Prerequisites

None

Literature

  • Brugger, Einführung in das Wirtschaftsrecht. Kurzlehrbuch, aktuelle Auflage

Assessment methods

  • Written Exam: 70%
  • Interim tests and cases: 30%

Anmerkungen

None

Project Management (PM)
German / ILV
2.00
1.00

Course description

In this sub-module students acquire basic project management skills.

Methodology

Flipped Classroom

Learning outcomes

After passing this course successfully students are able to ...

  • enumerate typical characteristics of projects, to define the term "project", to classify projects by means of suitable criteria, to divide the project life cycle into different phases with different tasks, to differentiate between different procedure models, to formulate project goals regarding performance, costs and deadlines, to document requirements in a requirement specification as well as a functional specification in a comprehensible way, to distinguish between different forms of project organization and outline their respective advantages and disadvantages, to differentiate between different project roles, to identify professional and social skills of project staff as an essential prerequisite for successful project work, to identify relevant stakeholders and their expectations of the project, to outline instruments for developing a beneficial project culture, to design countermeasures for unacceptable project risks, to draw up project plans (e.g. work breakdown structure plan, schedule, time schedule, cost plan, etc.), apply project controlling methods and instruments (e.g. earned value analysis, etc.) for the purposes of schedule and cost control, evaluate the effects of changing conditions and customer requirements, moderate a project final meeting and write a project final report, self-critically reflect on the achieved project results (e.g. lessons learned etc.) and to derive improvement potentials for future projects in the sense of knowledge transfer, to present and defend project results to project stakeholders, to differentiate between program and portfolio management, to use project management software (Project Libre).

Course contents

  • Project characteristics
  • Project term
  • Project types
  • Project management
  • Procedure models
  • Project goals
  • Project requirements
  • Phase and milestone planning
  • Project organization
  • Project roles
  • Project structure planning
  • Estimate of expenditure
  • Process and time scheduling (e.g. bar chart, network diagram)
  • Resource and cost planning
  • Project controlling and reporting
  • Project completion
  • Project completion
  • Risk management
  • Project marketing
  • Quality management
  • Document management
  • Configuration management
  • Change management
  • Contract management
  • Management of project teams
  • Agile project management
  • Scrum
  • Program management
  • Portfolio management
  • Project management software
  • International project management
  • Project management certifications

Prerequisites

None

Literature

  • Timinger, Holger: Wiley-Schnellkurs Projektmanagement, Wiley.

Assessment methods

  • Project work: 50%
  • Interim tests: 50%

Anmerkungen

Details see Moodle course

Working with and for patients 2 (AMP2)
German / kMod
5.00
-
Marketing and Sales (MKT)
German / ILV
3.00
2.00

Course description

In this sub-module students acquire basic skills in the areas of marketing and sales.

Methodology

Flipped Classroom

Learning outcomes

After passing this course successfully students are able to ...

  • define the terms “market” and “marketing”
  • name the components of a marketing plan
  • differentiate between different types of marketing strategies
  • differentiate between different market research methods
  • prepare product policy decisions
  • prepare price policy decisions
  • prepare communication policy decisions
  • prepare sales policy decisions
  • weigh up between different alternatives regarding the organizational anchoring of marketing in the company
  • calculate key figures for effectiveness and efficiency controls in marketing
  • name various instruments of online marketing and to describe their mode of operation

Course contents

  • Concept and Characteristics of Marketing
  • Marketing Planning
  • Marketing Strategies
  • Market Research
  • Product Policy
  • Price Policy
  • Sales Policy
  • Communication Policy
  • Marketing Organization
  • Marketing Controlling
  • Online Marketing

Prerequisites

Fundamentals of Business Administration

Literature

  • Bruhn, Marketing, Springer-Verlag
  • Bruhn, Marketingübungen, Springer-Verlag

Assessment methods

  • Written final exam: 70 points
  • Development of a marketing concept (group work): 30 points

Anmerkungen

Details see Moodle course

Subject-specific Law (FR)
German / ILV
2.00
1.00

6. Semester

Name ECTS
SWS
Bachelor Thesis (BA)
German / kMod
10.00
-
Bachelor Exam (BP)
German / EXAM
2.00
0.00

Course description

The Bachelor's examination is a commission examination before a relevant examination committee and completes the Bachelor's program.

Learning outcomes

After passing this course successfully students are able to ...

  • apply knowledge from different learning areas within the scope of the task technically correct and argumentatively correct to new situations

Course contents

  • The Bachelor's examination consists of a presentation of the bachelor paper an oral examination on the bachelor paper.
Bachelor Thesis (BA)
German / EL
8.00
5.00

Course description

The bachelor paper is an independent written work, which has to be written in the context of a course.

Learning outcomes

After passing this course successfully students are able to ...

  • to apply the scientific methods in the respective subject correctly to a technical task and to reflect the results critically.
  • to structure a scientific work in a formally correct way
  • to conduct (literature) research, evaluate sources and cite them according to the usual scientific standards

Course contents

  • The bachelor paper usually includes an independent examination with a detailed description and explanation of its solution.
Internship (BPRAK)
German / kMod
20.00
-
Internship (BPRAK)
German / SO
18.00
0.00

Course description

FH degree programmes are to be designed in such a way that students can acquire the knowledge, skills and competences relevant to professional practice that they need for successful professional activity. Against this background, internships represent a training-relevant component within the framework of Bachelor degree programmes.

Learning outcomes

After passing this course successfully students are able to ...

  • to independently solve well-defined subtasks in operational practice and to carry out the necessary documentation
  • to implement the knowledge and skills acquired during their studies.
  • to reflect the operational practice with regard to technical, economic and organizational, as well as management and personality relevant aspects

Course contents

  • The professional internship is accompanied by a seminar in which the students' experiences with the professional internship are reflected.
Internship Support and Reflection (PRAKB)
German / BE
2.00
1.00

Course description

During the seminar accompanying the internship, the experiences and competence acquisition of the students are reflected upon and an internship report is written.

Learning outcomes

After passing this course successfully students are able to ...

  • present the progress of work in a well-structured and target group-oriented manner
  • reflect on the experiences made during the professional internship and to document them in the internship report

Course contents

  • Individual, exemplary specialization in a chosen subject area with high demands on self-organized learning